Data engineer (AI-first)
Haystack People
Data engineer (AI-first)
Samenvatting
Wat krijg je?
Wat ga je doen?
- Betrouwbare datapijplijnen bouwen en onderhouden
- Cloud-infrastructuur op GCP ontwerpen en beheren
- Datakwaliteit waarborgen met geautomatiseerde tests
- Datamodellen bouwen en consistentie waarborgen
- Monitoring, alerting en cost control opzetten
Wat verwachten wij?
- More than 5 years experience as Data Engineer
- Strong SQL, Python, Bash and automation skills
- Experience with GCP, AWS or Azure cloud platforms
- Experience with ETL tools, APIs and CI/CD
Volledige vacaturetekst
Reliable data is the foundation of the AI transformation, and you make sure that foundation holds for this scaling business mobility specialist. You manage stable pipelines and cloud infrastructure on GCP while safeguarding data quality for Vertex AI use cases. Beyond impact, you enjoy an informal culture with ambitious growth plans and the freedom of hybrid working. Ready to build the future of fintech? Check the full details!
Reliable data is the foundation under the AI transformation. You make sure that foundation holds: stable pipelines, clean data and a scalable cloud infrastructure that is ready for AI.
Company profileFor a scale-up in business mobility and financing (moving toward an AI-first organisation) I am looking for a Data Engineer who combines data engineering, data quality and cloud engineering in one role.
What you do- You build and maintain reliable data pipelines (ETL/ELT, using tools like Airbyte) and integrate sources such as Salesforce, HubSpot, Exact, GA4 and external APIs
- You design and manage the cloud infrastructure on GCP (including BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Run and GKE)
- You safeguard data quality with validation rules, automated tests, monitoring and observability, and resolve data incidents down to the root cause
- You build data models (dimensional modeling, data vault) and safeguard consistency, lineage and governance
- You set up monitoring, alerting and cost control (FinOps) and deliver AI-ready datasets for use cases on Vertex AI
You work closely with software engineering and DevOps, product management, BI/analytics and data scientists.
What you bring- A degree-level background and 5+ years of experience as a Data Engineer, Cloud Data Engineer or similar
- Strong SQL and Python, plus scripting and automation (Python, Bash)
- Experience with a cloud data platform (GCP, AWS or Azure)
- Experience with ETL/ELT tooling, API integrations, Git and CI/CD
- A solid grasp of distributed systems, data warehousing and data architecture
- A proactive, structured way of working and ownership of platform and data stability
You do not need to tick every box. If you are close, I would like to hear from you.
Nice to have
Experience with Google Cloud Platform (BigQuery, Dataflow or Dataproc) and Google Cloud Professional certification, experience with data quality and observability, event-driven architecture, Vertex AI, FinOps, or experience in fintech, leasing or automotive.
What we offerA modern cloud data platform, real impact on the AI transformation, plenty of room for innovation and automation, an informal culture with ambitious growth plans and hybrid working.
Recognise yourself in this? Apply directly or send me a message and we will have a quick chat.
- Salary: € 6,000 to € 8,000 gross per month (depending on experience)
- Location: Utrecht (hybrid)
- Impact: you build the foundation that all data, analytics and AI across the organisation runs on
- Room to innovate and automate, an informal culture and ambitious growth plans
Interesse? Mail mij via de button "Solliciteer nu" op deze pagina.
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